{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <center>统计图表</center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pylab as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 每股收益(每股利润), EPS:earnings_per_share\n",
    "# 每股净资产, NA:net_assets_per_share\n",
    "# 净资产收益率ROE(Rate of Return on Common Stockholders' Equity)股东权益报酬率\n",
    "# 营业收入(Operating income)\n",
    "# 净利润(Net Profit)\n",
    "\n",
    "# EPS, NA, ROE, OI, NP \n",
    "labels = np.array(['每股收益', '每股净资产', '净资产收益率', '营业收入', '净利润'])\n",
    "boe_data = np.array([0.1, 2.47, 4.0, 971.09, 34.35])\n",
    "avg_data = np.array([0.4758, 4.6363, 10.63, 108.07, 4.49])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "angles = np.linspace(0, 2*np.pi, len(labels), endpoint=False)\n",
    "# 闭合\n",
    "angles = np.concatenate((angles, [angles[0]]))\n",
    "\n",
    "boe_data = np.concatenate((boe_data, [boe_data[0]]))\n",
    "avg_data = np.concatenate((avg_data, [avg_data[0]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 10)"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "# 极坐标\n",
    "ax = fig.add_subplot(111, polar=True)\n",
    "# 坐标起始方向\n",
    "ax.set_theta_zero_location('N')\n",
    "# 不显示极坐标最外圈的圆\n",
    "# ax.spines['polar'].set_visible(False) \n",
    "# 不显示默认的分割线\n",
    "# ax.grid(False)\n",
    "# 不显示坐标间隔\n",
    "# ax.set_yticks([]) \n",
    "ax.plot(angles, boe_data, 'ro-', linewidth=2)\n",
    "ax.fill(angles, boe_data, facecolor='r', alpha=0.25)\n",
    "ax.plot(angles, avg_data, 'bo-', linewidth=2)\n",
    "ax.set_thetagrids(angles * 180/np.pi, labels, fontproperties=\"SimHei\")\n",
    "ax.set_title(\"\", va='bottom', fontproperties=\"SimHei\")\n",
    "ax.set_rlim(0, 10)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
